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Yuuki Yamanaka
Yuuki Yamanaka
NTT Secure Platform Laboratories
Verified email at hco.ntt.co.jp
Title
Cited by
Cited by
Year
Sigsoftmax: Reanalysis of the softmax bottleneck
S Kanai, Y Fujiwara, Y Yamanaka, S Adachi
Advances in Neural Information Processing Systems 31, 2018
752018
Variational autoencoder with implicit optimal priors
H Takahashi, T Iwata, Y Yamanaka, M Yamada, S Yagi
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5066-5073, 2019
672019
Student-t Variational Autoencoder for Robust Density Estimation.
H Takahashi, T Iwata, Y Yamanaka, M Yamada, S Yagi
IJCAI, 2696-2702, 2018
432018
Autoencoding binary classifiers for supervised anomaly detection
Y Yamanaka, T Iwata, H Takahashi, M Yamada, S Kanai
PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019
382019
Energy gap at first-order quantum phase transitions: An anomalous case
J Tsuda, Y Yamanaka, H Nishimori
Journal of the Physical Society of Japan 82 (11), 114004, 2013
272013
Anomalous behavior of the energy gap in the one-dimensional quantum X Y model
M Okuyama, Y Yamanaka, H Nishimori, MM Rams
Physical Review E 92 (5), 052116, 2015
152015
Supervised anomaly detection based on deep autoregressive density estimators
T Iwata, Y Yamanaka
arXiv preprint arXiv:1904.06034, 2019
102019
Smoothness analysis of adversarial training
S Kanai, M Yamada, H Takahashi, Y Yamanaka, Y Ida
arXiv preprint arXiv:2103.01400, 2021
62021
Relationship between nonsmoothness in adversarial training, constraints of attacks, and flatness in the input space
S Kanai, M Yamada, H Takahashi, Y Yamanaka, Y Ida
IEEE Transactions on Neural Networks and Learning Systems, 2023
52023
Adversarial training makes weight loss landscape sharper in logistic regression
M Yamada, S Kanai, T Iwata, T Takahashi, Y Yamanaka, H Takahashi, ...
arXiv preprint arXiv:2102.02950, 2021
52021
Generalized Negative Sampling for Implicit Feedback in Recommendation
Y Yamanaka, K Sugiyama
IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent …, 2021
22021
Detecting device, detecting method, and detecting program
H Takahashi, T Iwata, Y Yamanaka, M Yamada, S Yagi
US Patent App. 17/253,131, 2021
22021
Smoothness analysis of loss functions of adversarial training
S Kanai, M Yamada, H Takahashi, Y Yamanaka, Y Ida
arXiv preprint arXiv:2103.01400, 2021
22021
Detecting device and detecting method
Y Yamanaka
US Patent 11,847,210, 2023
12023
Detection device, detection method, and detection program
T Takahashi, M Yamada, Y Yamanaka
US Patent App. 17/794,984, 2023
12023
Detection device and detection method
M Yamada, Y Igarashi, Y Yamanaka
US Patent 11,563,654, 2023
12023
Learning device, learning method, and learning program
H Takahashi, T Iwata, S Kanai, A Kumagai, Y Yamanaka, M Yamada, ...
US Patent App. 17/777,074, 2022
12022
Evaluation device and evaluation method
Y Yamanaka
US Patent App. 17/252,751, 2021
12021
Falsification detection device, falsification detection method, and falsification detection program
Y Yamanaka, ITO Manami, R Sato, H Takiguchi, N Chiba, Y Nakajima
US Patent App. 18/271,850, 2024
2024
Estimation device, estimation method, and estimation program
T Nagai, M Yamada, T Takahashi, Y Teramoto, Y Yamanaka
US Patent App. 18/035,109, 2023
2023
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